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ESID: A Visual Analytics Tool to Epidemiological Emergencies

Authors :
Betz, Pawandeep Kaur
Stoll, Julien
Grappendorf, Valerie
Gilg, Jonas
Zeumer, Moritz
Klitz, Margrit
Spataro, Luca
Klein, Anna
Rothenhäusler, Lena
Bohnacker, Hartmut
Krämer, Hans
Meyer-Hermann, Michael
Somogyi, Sybille
Gerndt, Andreas
Kühn, Martin J.
Publication Year :
2023
Publisher :
arXiv, 2023.

Abstract

Visual analysis tools can help illustrate the spread of infectious diseases and enable informed decisions on epidemiology and public health issues. To create visualisation tools that are intuitive, easy to use, and effective in communicating information, continued research and development focusing on user-centric and methodological design models is extremely important. As a contribution to this topic, this paper presents the design and development of the visual analytics application ESID (Epidemiological Scenarios for Infectious Diseases). The goal of ESID is to provide a platform for rapid assessment of the most effective interventions for infectious disease control. ESID provides spatial-temporal analysis, forecasting, comparison of simulations, interactive filters, and accessibility options. In its current form, it shows the simulations of a hybrid graph-equation-based model as introduced in for infection control. The model can be stratified for different age groups and takes into account the properties of the infectious disease as well as human mobility and contact behaviour.<br />Comment: 6 pages, 5 images and 1 table, Eurovis workshop on visual analytics (EuroVA) 2023

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....1acad218a8daee61e805f636a7f9deb9
Full Text :
https://doi.org/10.48550/arxiv.2304.04635